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Integrating multiple contexts in real-time collaboration applications

Published: 05 February 2013 Publication History

Abstract

Applications based on context aware technologies have been extensively studied with different notions of context such as location, sensory, presence and many other aspects of user behavior. Many of these notions of context are often orthogonal and can be combined to provide novel new services. We integrate communication context that is mined from users' communication data with session, messaging, and presence contexts to provide novel collaboration services to enterprise users. In this paper, we present two such services that compute recommended relevance for collaboration services by integrating multiple notions of context. We present a novel contextual presence service that enhances messaging collaboration among enterprise users. Some of the algorithms presented in this paper are deployed in a real enterprise across multiple locations with over 150 users.

References

[1]
B. Schilit, N. Adams, and R. Want, "Context-aware computing applications," in 1st International Workshop on Mobile Computing Systems and Applications, pp. 85--90, 1994.
[2]
K. K. Dhara, V. Krishnaswamy, E. Shim, and X. Wu, "Enhancing unified communication services with communication context.," Journal of Communications, vol. 7, no. 2, pp. 115--131, 2012.
[3]
E. Shim, K. K. Dhara, X. Wu, and V. Krishnaswamy, "Communication data based user activity recommendations.," in ICUIMC (S.-H. Lee, L. Hanzo, M. Y. Chung, S.-W. Lee, and K. Cho, eds.), p. 6, ACM, 2011.
[4]
K. K. Dhara, V. Krishnaswamy, and P. Katre, "Inferring relevant people from multi-modal user communication activity.," in CCNC, pp. 538--543, IEEE, 2012.
[5]
X. Wu and V. Krishnaswamy, "Advanced communication thread analysis and applications.," in ICC, pp. 1971--1975, IEEE, 2012.
[6]
J. Putrevu, X. Wu, and V. Krishnaswamy, "Automate session setup based on machine learning," in 2010 IEEE 4th International Conference on Internet Multimedia Services Architecture and Applications (IMSAA 2010), (Bangalore, India), Dec. 2010.
[7]
P. Brown, "The stick-e document: a framework for creating context-aware applications," in Electronic Publishing, pp. 259--272, 1996.
[8]
A. K. Dey and G. D. Abowed, "Towards a better understanding of context and context-awareness," in Conference on Human Factors in Computing Systems, April 2000.
[9]
A. K. Dey, "Context-aware computing: The cyberdesk project," in AAAI Symposium on Intelligent Environments, Tech Report SS-98-02, pp. 51--54, 1998.
[10]
A. K. Dey, M. Futakawa, D. Salber, and G. D. Abowed, "The conference assistant: Combining context-awareness with wearable computing," in the 3rd I'tl Symposium on Wearable Computers, 1999.
[11]
"Cyberdesk: Framework for providing self-integrating context-aware services," Knowledge Based Systems, vol. 11, pp. 3--13, September 1998.
[12]
W. Hill, L. Stead, M. Rosenstein, and G. Furnas, "Recommending and evaluating choices in a virtual community of use," in Conference on Human Factors in Computing Systems, 1995.
[13]
P. Resnickm, N. Iakoyou, M. Susha, P. Bergstrom, and J. Riedl, "Grouplens: An open architecture for collaborative filtering of netnews," in Computer Supported Cooperative Work Conference, 1994.
[14]
U. Shardanand and P. Maes, "Social information filtering: Algorithms for automating 'word of mouth'," in Conference on Human Factors in Computing systems, 1995.
[15]
M. Balabanovic and Y. Shoham, "Fab: Content-based collaborative recommendation," Comm. ACM, vol. 40, no. 3, pp. 66--72, 1997.
[16]
D. Gruhl, D. Liben-Nowell, R. Guha, and A. Tomkins, "Information diffusion through blogspace," SIGKDD Explor. Newsl., vol. 6, no. 2, pp. 43--52, 2004.
[17]
G. Kossinets, J. Kleinberg, and D. Watts, "The structure of information pathways in a social communication network," in KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, (New York, NY, USA), pp. 435--443, ACM, 2008.
[18]
M. Roth, A. Ben-David, D. Deutscher, G. Flysher, I. Horn, A. Leichtberg, N. Leiser, Y. Matias, and R. Merom, "Suggesting friends using the implicit social graph," in Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 233--242, 2010.
[19]
J. B. Begole, J. âĂIJbo Begole, and J. C. Tang, "Rhythm modeling, visualizations and applications," in Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), pp. 11--20, ACM Press, 2003.
[20]
M. Perttunen and J. Riekki, "Inferring presence in a context-aware instant messaging system," in 2004 IFIP International Conference on Intelligence in Communication Systems (INTELLCOMM 04, 2004.
[21]
A. Ranganathan, R. H. Campbell, A. Ravi, and A. Mahajan, "Conchat: A context-aware chat program," IEEE Pervasive Computing, vol. 1, pp. 51--57, July 2002.

Cited By

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  • (2014)Predicting relevant documents for enterprise communication contextsProceedings of the 8th International Conference on Ubiquitous Information Management and Communication10.1145/2557977.2558069(1-8)Online publication date: 9-Jan-2014
  • (2014)Supporting Context-Aware Cloud-Based Media Recommendations for SmartphonesProceedings of the 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering10.1109/MobileCloud.2014.26(109-116)Online publication date: 8-Apr-2014

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cover image ACM Other conferences
CaRR '13: Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation
February 2013
39 pages
ISBN:9781450318471
DOI:10.1145/2442670
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • DFKI: DFKI GmbH
  • University of Potsdam: University of Potsdam
  • Technische Universitat Berlin: Technische Universitat Berlin
  • Microsoft: Microsoft

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 February 2013

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Author Tags

  1. communication context
  2. context aware
  3. contextual presence
  4. presence
  5. unified communication

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CaRR '13
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  • DFKI
  • University of Potsdam
  • Technische Universitat Berlin
  • Microsoft

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Cited By

View all
  • (2014)Predicting relevant documents for enterprise communication contextsProceedings of the 8th International Conference on Ubiquitous Information Management and Communication10.1145/2557977.2558069(1-8)Online publication date: 9-Jan-2014
  • (2014)Supporting Context-Aware Cloud-Based Media Recommendations for SmartphonesProceedings of the 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering10.1109/MobileCloud.2014.26(109-116)Online publication date: 8-Apr-2014

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